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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 757
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    Explanations

    large numbers related to pricing

    oai_token-act-pair · gpt-3.5-turbo

    numerical data, specifically ratings or scores associated with items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    recy
    -0.60
    cffff
    -0.59
    minist
    -0.58
    social
    -0.58
    andom
    -0.57
    paces
    -0.55
     Ideal
    -0.55
     aging
    -0.54
     citiz
    -0.54
    meaning
    -0.53
    POSITIVE LOGITS
    gex
    0.78
    pmwiki
    0.72
    Ü
    0.69
    thora
    0.67
    ?????-
    0.66
    Rail
    0.66
    omial
    0.65
    ↵
    0.65
    vae
    0.64
    ̶
    0.62
    Activations Density 0.169%

    No Known Activations